Principal Agentic AI Engineer

SAP•Stanford, CA

1d•$176,300 - $299,700•Hybrid

About The Position

We are seeking a Principal Agentic AI Engineer to join the BTP Product Management Regional Implementation Group (RIG), a hands-on team that brings the latest SAP technologies to life with early adopter customers across the Americas. In this role, you will combine deep engineering expertise, AI knowledge, and practical problem-solving skills to implement production-intent solutions using SAP Business AI Platform, specifically Joule Studio 2.0 and related services. You will work closely with customers, product managers, and architects to turn emerging SAP capabilities into real-world applications and help shape the evolution of SAP technologies through actionable product feedback. If you are energized by solving complex technical challenges, experimenting with cutting-edge AI, and building solutions that make a tangible impact for customers, this role provides a unique opportunity to work at the intersection of innovation, architecture, and implementation excellence.

Requirements

University degree in Computer Science, Software Engineering, or related field; 8+ years of software development experience building and shipping production systems.
Strong full-stack engineering fundamentals. You are equally comfortable building frontend experiences, backend services, APIs, and data integrations, and you know how to make them work together in complex customer landscapes.
Proficient in backend languages (Python, Node.js, Java, or Go) and modern frontend frameworks (React, Angular, Vue, or UI5).
Comfortable with Docker, cloud-native development (AWS, Azure, GCP, or SAP BTP), API design, DevOps & CI/CD pipelines.
Practical AI expertise: generative AI, LLM orchestration, prompt engineering, RAG patterns, and agentic architecture. You have moved beyond prototyping and built and maintained AI-powered solutions in production.
Development experience building agents using modern frameworks and protocols (MCP, A2A, LangGraph, CrewAI, or similar); you have shipped working agents, not just experimented with them.
Understanding LLM production concerns: grounding, guardrails, latency, cost optimization, and observability.
Experience implementing human-in-the-loop (HITL) workflows for safety-critical or compliance-sensitive automated operations.
Familiarity with knowledge graphs, vector stores, relational databases and embedding pipelines — the retrieval and grounding infrastructure that agents depend on.
Excellent collaboration and communication skills, capable of working directly with customers, developers, architects, and technical teams to translate business problems into working software.
A natural networker with a cloud-first mindset, able to thrive in a globally distributed, cross-cultural environment.
Passionate about lifelong learning, experimentation, and turning ambitious AI ideas into working production-grade solutions.

Nice To Haves

Experience developing on SAP BTP / SAP Build / Joule Studio or working with SAP AI Core.

Responsibilities

Work with customers across the Americas to architect and deliver production-intent solutions on SAP Business AI Platform, with a focus on AI-enabled scenarios including custom agents, intelligent applications, and intelligent workflows such as n8n.
Partner with your product manager, development architect, and customer teams to deliver high-quality solutions, translating business requirements into scalable architectures, functional designs, and maintainable implementations.
Stay on top of the latest SAP product releases and emerging technologies, evaluating their suitability for customer scenarios, identifying trade-offs, and proposing optimal implementation approaches.
Collaborate on structured product feedback for each engagement, engaging with SAP Product Management and Architecture teams to ensure real-world insights inform product direction.
Contribute to sample implementations, reference architectures, configuration examples, and developer enablement materials, accelerating adoption of new SAP technologies both internally and with customers.
Serve as a technical mentor and subject-matter expert, helping teams apply best practices, experiment safely with new AI approaches, and deliver production-ready solutions with confidence.